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Soil macrofauna communities in Brazilian land-use systems.
Brown, George G; Demetrio, Wilian C; Gabriac, Quentin; Pasini, Amarildo; Korasaki, Vanesca; Oliveira, Lenita J; Dos Santos, Julio C F; Torres, Eleno; Galerani, Paulo R; Gazziero, Dionisio L P; Benito, Norton P; Nunes, Daiane H; Santos, Alessandra; Ferreira, Talita; Nadolny, Herlon S; Bartz, Marie L C; Maschio, Wagner; Dudas, Rafaela T; Zagatto, Mauricio R G; Niva, Cintia C; Clasen, Lina A; Sautter, Klaus D; Froufe, Luis C M; Seoane, Carlos Eduardo S; de Moraes, Aníbal; James, Samuel; Alberton, Odair; Brandão Júnior, Osvaldino; Saraiva, Odilon; Garcia, Antonio; Oliveira, Elma; César, Raul M; Corrêa-Ferreira, Beatriz S; Bruz, Lilianne S M; da Silva, Elodie; Cardoso, Gilherme B X; Lavelle, Patrick; Velásquez, Elena; Cremonesi, Marcus; Parron, Lucília M; Baggio, Amilton J; Neves, Edinelson; Hungria, Mariangela; Campos, Thiago A; da Silva, Vagner L; Reissmann, Carlos B; Conrado, Ana C; Bouillet, Jean-Pierre D; Gonçalves, José L M; Brandani, Carolina B.
Afiliação
  • Brown GG; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • Demetrio WC; UFPR, Curitiba, Brazil UFPR Curitiba Brazil.
  • Gabriac Q; ESALQ-USP, Piracicaba, Brazil ESALQ-USP Piracicaba Brazil.
  • Pasini A; Private, Saleilles, France Private Saleilles France.
  • Korasaki V; Universidade Estadual de Londrina, Londrina, Brazil Universidade Estadual de Londrina Londrina Brazil.
  • Oliveira LJ; Universidade do Estado de Minas Gerais, Frutal, Brazil Universidade do Estado de Minas Gerais Frutal Brazil.
  • Dos Santos JCF; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • Torres E; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • Galerani PR; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • Gazziero DLP; Embrapa, Brasília, Brazil Embrapa Brasília Brazil.
  • Benito NP; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • Nunes DH; Embrapa Recursos Genéticos, Brasília, Brazil Embrapa Recursos Genéticos Brasília Brazil.
  • Santos A; Instituto Federal Catarinense, Camboriu, Brazil Instituto Federal Catarinense Camboriu Brazil.
  • Ferreira T; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Nadolny HS; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Bartz MLC; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Maschio W; CARE-Bio, Idanha-a-Nova, Portugal CARE-Bio Idanha-a-Nova Portugal.
  • Dudas RT; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • Zagatto MRG; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Niva CC; DungTech Biofertilizantes Ltda, Piracicaba, Brazil DungTech Biofertilizantes Ltda Piracicaba Brazil.
  • Clasen LA; Embrapa Cerrados, Planaltina, Brazil Embrapa Cerrados Planaltina Brazil.
  • Sautter KD; University of Copenhagen, Copenhagen, Denmark University of Copenhagen Copenhagen Denmark.
  • Froufe LCM; Uniandrade, Curitiba, Brazil Uniandrade Curitiba Brazil.
  • Seoane CES; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • de Moraes A; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • James S; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Alberton O; Maharishi University, Fairfield, United States of America Maharishi University Fairfield United States of America.
  • Brandão Júnior O; Universidade Paranaense, Umuarama, Brazil Universidade Paranaense Umuarama Brazil.
  • Saraiva O; Fatec, Araçatuba, Brazil Fatec Araçatuba Brazil.
  • Garcia A; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • Oliveira E; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • César RM; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Corrêa-Ferreira BS; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Bruz LSM; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • da Silva E; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Cardoso GBX; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • Lavelle P; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Velásquez E; Université Pierre et Marie Curie (Paris 6), Paris, France Université Pierre et Marie Curie (Paris 6) Paris France.
  • Cremonesi M; Universidad Nacional de Colombia, Palmira, Colombia Universidad Nacional de Colombia Palmira Colombia.
  • Parron LM; Federal University of Paraná (UFPR), Curitiba, Brazil Federal University of Paraná (UFPR) Curitiba Brazil.
  • Baggio AJ; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • Neves E; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • Hungria M; Embrapa Florestas, Colombo, Brazil Embrapa Florestas Colombo Brazil.
  • Campos TA; Embrapa Soja, Londrina, Brazil Embrapa Soja Londrina Brazil.
  • da Silva VL; Universidade Estadual de Londrina, Londrina, Brazil Universidade Estadual de Londrina Londrina Brazil.
  • Reissmann CB; Universidad de la República, Montevidéo, Uruguay Universidad de la República Montevidéo Uruguay.
  • Conrado AC; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Bouillet JD; Universidade Federal do Paraná, Curitiba, Brazil Universidade Federal do Paraná Curitiba Brazil.
  • Gonçalves JLM; CIRAD, Montpellier, France CIRAD Montpellier France.
  • Brandani CB; ESALQ-USP, Piracicaba, Brazil ESALQ-USP Piracicaba Brazil.
Biodivers Data J ; 12: e115000, 2024.
Article em En | MEDLINE | ID: mdl-38314121
ABSTRACT

Background:

Soil animal communities include more than 40 higher-order taxa, representing over 23% of all described species. These animals have a wide range of feeding sources and contribute to several important soil functions and ecosystem services. Although many studies have assessed macroinvertebrate communities in Brazil, few of them have been published in journals and even fewer have made the data openly available for consultation and further use. As part of ongoing efforts to synthesise the global soil macrofauna communities and to increase the amount of openly-accessible data in GBIF and other repositories related to soil biodiversity, the present paper provides links to 29 soil macroinvertebrate datasets covering 42 soil fauna taxa, collected in various land-use systems in Brazil. A total of 83,085 georeferenced occurrences of these taxa are presented, based on quantitative estimates performed using a standardised sampling method commonly adopted worldwide to collect soil macrofauna populations, i.e. the TSBF (Tropical Soil Biology and Fertility Programme) protocol. This consists of digging soil monoliths of 25 x 25 cm area, with handsorting of the macroinvertebrates visible to the naked eye from the surface litter and from within the soil, typically in the upper 0-20 cm layer (but sometimes shallower, i.e. top 0-10 cm or deeper to 0-40 cm, depending on the site). The land-use systems included anthropogenic sites managed with agricultural systems (e.g. pastures, annual and perennial crops, agroforestry), as well as planted forests and native vegetation located mostly in the southern Brazilian State of Paraná (96 sites), with a few additional sites in the neighbouring states of São Paulo (21 sites) and Santa Catarina (five sites). Important metadata on soil properties, particularly soil chemical parameters (mainly pH, C, P, Ca, K, Mg, Al contents, exchangeable acidity, Cation Exchange Capacity, Base Saturation and, infrequently, total N), particle size distribution (mainly % sand, silt and clay) and, infrequently, soil moisture and bulk density, as well as on human management practices (land use and vegetation cover) are provided. These data will be particularly useful for those interested in estimating land-use change impacts on soil biodiversity and its implications for below-ground foodwebs, ecosystem functioning and ecosystem service delivery. New information Quantitative estimates are provided for 42 soil animal taxa, for two biodiversity hotspots the Brazilian Atlantic Forest and Cerrado biomes. Data are provided at the individual monolith level, representing sampling events ranging from February 2001 up to September 2016 in 122 sampling sites and over 1800 samples, for a total of 83,085 ocurrences.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2024 Tipo de documento: Article